Ontological descriptions of statistical models for sharing knowledge of academic emotions

Keiichi Muramatsu, Tatsunori Matsui

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Many studies have been conducted during the last two decades examining learner reactions within e-learning environments. In an effort to assist learners in their scholastic activities, these studies have attempted to understand learner mental states by analyzing participants' facial images, eye movements, and other physiological indices and data. To add to this growing body of research, we have been developing IMS (Intelligent Mentoring System) which performs automatic mentoring by using an ITS (Intelligent Tutoring System) to scaffold learning activities and an ontology to provide a specification of learner's models. To identify learner mental states, the ontology operates based on theoretical and data-driven knowledge of emotions. In this study, we use statistical models to examine constructs of emotions evaluated in previous psychological studies, and then produce a construct of academic boredom.

    Original languageEnglish
    Title of host publicationProceedings of the 22nd International Conference on Computers in Education, ICCE 2014
    PublisherAsia-Pacific Society for Computers in Education
    Pages42-49
    Number of pages8
    ISBN (Print)9784990801410
    Publication statusPublished - 2014
    Event22nd International Conference on Computers in Education, ICCE 2014 - Nara
    Duration: 2014 Nov 302014 Dec 4

    Other

    Other22nd International Conference on Computers in Education, ICCE 2014
    CityNara
    Period14/11/3014/12/4

    Fingerprint

    Intelligent systems
    mentoring
    ontology
    Ontology
    emotion
    boredom
    Eye movements
    Scaffolds
    electronic learning
    learning environment
    Specifications
    learning
    Statistical Models

    Keywords

    • Academic boredom
    • Academic emotions
    • Constructs
    • Ontology

    ASJC Scopus subject areas

    • Computer Science(all)
    • Education

    Cite this

    Muramatsu, K., & Matsui, T. (2014). Ontological descriptions of statistical models for sharing knowledge of academic emotions. In Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014 (pp. 42-49). Asia-Pacific Society for Computers in Education.

    Ontological descriptions of statistical models for sharing knowledge of academic emotions. / Muramatsu, Keiichi; Matsui, Tatsunori.

    Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014. Asia-Pacific Society for Computers in Education, 2014. p. 42-49.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Muramatsu, K & Matsui, T 2014, Ontological descriptions of statistical models for sharing knowledge of academic emotions. in Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014. Asia-Pacific Society for Computers in Education, pp. 42-49, 22nd International Conference on Computers in Education, ICCE 2014, Nara, 14/11/30.
    Muramatsu K, Matsui T. Ontological descriptions of statistical models for sharing knowledge of academic emotions. In Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014. Asia-Pacific Society for Computers in Education. 2014. p. 42-49
    Muramatsu, Keiichi ; Matsui, Tatsunori. / Ontological descriptions of statistical models for sharing knowledge of academic emotions. Proceedings of the 22nd International Conference on Computers in Education, ICCE 2014. Asia-Pacific Society for Computers in Education, 2014. pp. 42-49
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